CN-121977483-A - Channel siltation thickness online measurement method and system based on multi-source fusion self-checking

CN121977483ACN 121977483 ACN121977483 ACN 121977483ACN-121977483-A

Abstract

The invention discloses a channel siltation thickness online measurement method and system based on multi-source fusion self-checking. The system can synchronously collect water level, water temperature and ultrasonic sounding data of a target section in a water running state, invert the elevation of the bed surface after sound velocity correction, and obtain the deposition thickness by difference with a reference bed surface. Aiming at complex working conditions such as muddy water, turbulent fluctuation and the like, a self-checking system comprising echo quality, repeatability, neighborhood consistency, check point errors and drift indexes is constructed, four-level retest mechanisms of points, measuring lines, sections and systems are set, and corresponding calibration is automatically triggered according to overrun of indexes. And finally outputting the siltation statistics, the thickness uncertainty and the credibility, and relating and archiving the original data, the processing parameters and the retest record to realize the whole process traceability. The invention can realize stable deposition thickness and on-line monitoring under the condition of no water cut-off, and is suitable for channel operation management under complex working conditions such as sand, muddy water and the like.

Inventors

JIN JIN
NIE LI
YU XIAOYAN
JIA CHENGGUANG
ZHAO QIAN
LI XUAN

Assignees

石河子大学

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (10)

1. The channel sedimentation thickness online measurement method based on multi-source fusion self-checking is characterized by comprising the following steps of: S1, establishing a measurement coordinate system and acquiring reference bed surface data, namely setting a reference control point in a target channel section, establishing the measurement coordinate system, and acquiring and storing reference bed surface elevation distribution S2, carrying out multi-source synchronous acquisition, namely arranging a multi-probe ultrasonic sounding array, a water level gauge and a temperature sensor on a target section in a channel water running state, and synchronously acquiring the water surface elevation Water temperature And the ultrasonic sounding original echo of each measuring point, and calculating the original water depth ; S3, correcting sound velocity and calculating effective water depth based on water temperature On-site calibration parameters By the sound velocity function Calculating sound velocity for original water depth Correcting to obtain effective water depth ; S4, inverting the current bed surface elevation and evaluating the echo quality according to the water surface elevation And effective water depth By inversion of bed surface Calculating the current bed surface elevation , wherein, Zero bias is installed for the system, and simultaneously, echo quality index is extracted from the original echo ; S5, identifying and eliminating abnormal values based on the echo quality index Repeated measurement of discrete indicators And neighborhood consistency index Carrying out outlier identification and elimination on the measured data; S6, calculating the deposition thickness, namely, elevating the current bed surface And the height of the reference bed surface Differencing in the same coordinate system to calculate the deposition thickness ; S7, outputting statistical results and uncertainty, namely, for the deposited thickness Performing gridding statistics, outputting at least one index of average deposition thickness, maximum deposition thickness, deposition area occupation ratio and deposition volume of a section, and outputting an index of uncertainty of thickness or credibility; S8, performing self-checking and hierarchical retesting, namely constructing the echo quality index Repeated measurement of discrete indicators Neighborhood consistency index Checking point error index Index of zero drift/drift When any index exceeds a preset threshold, automatically triggering a grading retest flow from point retest, measuring line retest and section retest to system retest; And S9, outputting and associatively archiving, namely outputting a final deposited thickness measurement result, and associatively archiving the original echo data, the sound velocity correction parameter, the abnormal point rejection mark, the retest triggering reason, the retest level and the credibility or uncertainty of the final result.
2. The method for online measurement of channel sedimentation thickness based on multi-source fusion self-check according to claim 1, wherein in step S2, the ultrasonic sounding array is provided with at least 3 sounding probes along the channel width direction, and the distance between measuring points is equal to the distance between measuring points Is that Wherein Is the width of the channel, the elevation of the water surface Unified clock or timestamp correction enables time synchronization.
3. The method for online measurement of channel fouling thickness based on multi-source fusion self-check according to claim 1, wherein in step S3, the effective water depth is as follows Is calculated by the formula of (2) Wherein the method comprises the steps of Calibrating sound velocity for equipment reference sound velocity or factory leaving, wherein the field calibration parameters are as follows Is obtained by calibrating under the condition of known water depth and is used for compensating the systematic deviation caused by sand, bubbles and installation structures.
4. The method for online measurement of channel fouling thickness based on multi-source fusion self-check according to claim 1, wherein in step S4, the echo quality index From echo amplitude Signal to noise ratio Correlation coefficient At least one parameter or a weighted normalization combination thereof.
5. The method for online measurement of channel fouling thickness based on multi-source fusion self-check according to claim 1, wherein in step S5, the repeated measurement of the discrete index Standard deviation or extremely poor of multiple effective water depth measurement values of the same measuring point in a single sampling period, wherein the neighborhood consistency index Is calculated according to the formula: Wherein the method comprises the steps of To take the following measures A set of neighbors that are central, containing adjacent points.
6. The method for online measurement of channel fouling thickness based on multi-source fusion self-check as claimed in claim 1, wherein in step S7, the thickness uncertainty Based on the error propagation formula: calculate and further output confidence interval: Wherein the method comprises the steps of Is a coverage factor.
7. The method for online measurement of channel fouling thickness based on multi-source fusion self-check as claimed in claim 1, wherein in step S8, the check point error index Is calculated by the formula of (2) Wherein For the actual elevation of the fixed recombination point at the bottom or side wall of the channel calibrated by precision leveling in advance, The zero drift/drift index is the inversion bed surface elevation of the position of the re-nuclear point Is calculated by the formula of (2) Wherein And (3) with And the error of the rechecking point at the starting time and the ending time of the same measurement task is respectively calculated.
8. The method for online measurement of channel fouling thickness based on multi-source fusion self-check as set forth in claim 1 or 7, wherein in step S8, in the hierarchical retest process, the system retest at least comprises sound velocity calibration, sensor zero calibration and time synchronization check, when the point position ratio of triggering retest in the same test line or section exceeds a preset threshold value In the process, the grids are automatically encrypted or the sounding times are increased to improve the identification precision of the mutation areas, wherein Is that 。
9. An on-line measurement system for channel fouling thickness for implementing the method of any one of claims 1 to 8, comprising: The multi-probe ultrasonic sounding array is arranged on the channel target section and is used for collecting water depth data and echo signals of each measuring point of the channel section; the water level gauge is arranged near the target section and is used for collecting water surface elevation data; the temperature sensor is arranged in the channel water body and used for acquiring water temperature data; The data acquisition control unit is in signal connection with the ultrasonic sounding array, the water level gauge and the temperature sensor and is used for synchronously acquiring the sensor data; A data processing unit, in communication with the data acquisition control unit, configured to perform steps S1 to S9 of the method of any one of claims 1 to 8, enabling calculation of the fouling thickness, self-checking, hierarchical retesting, output of results and associated archiving.
10. The system of claim 9, wherein the data processing unit comprises an echo quality assessment module, an outlier identification and rejection module, a self-checking and retesting trigger module, and a data archiving and traceability module, and further comprises a fixed retesting reference block disposed at the bottom or side wall of the channel, the top elevation thereof As a benchmark for system calibration and drift monitoring.

Description

Channel siltation thickness online measurement method and system based on multi-source fusion self-checking Technical Field The invention relates to the technical fields of hydraulic engineering, hydrologic test and sediment measurement, in particular to a channel sedimentation thickness online measurement method and system based on multi-source fusion self-checking. Background The invention relates to the technical field of channel siltation monitoring in hydraulic engineering. Channel fouling is a common problem affecting water delivery efficiency and scheduling accuracy in infusion zone water delivery and distribution systems. Traditional siltation measurement mainly relies on manual sounding after water cut-off or intermittent water platform operation, and the method not only interferes with normal water supply operation, but also has high measurement cost and long period. In addition, limited by manpower and equipment, the traditional method is seriously insufficient in measuring point density and measuring frequency, and is difficult to capture local fouling mutation and dynamic evolution process. With the development of acoustic sounding and water level sensing technologies, attempts have been made to apply ultrasonic sounding to online water depth monitoring. However, when the method is directly used for inverting the sedimentation thickness, the method still has significant challenges that firstly, under the complex working conditions of water running, high sand content and turbulent fluctuation of water flow in channels, ultrasonic echo signals are easy to interfere, so that bed surface identification is unreliable, secondly, synchronous acquisition and fusion processing mechanisms of multi-source data such as water level, water depth and water temperature are imperfect, accuracy of elevation inversion is affected, thirdly, online quality control and error correction means of a system are lacked, single measurement results are easy to be affected by accidental factors, long-term stability is insufficient, and fourthly, the traditional method generally only outputs final thickness values, and records of original data, processing procedures and quality indexes are lacked, so that result reliability is low and retrospective review is difficult. Therefore, in the current channel accumulation monitoring field, an online measurement method and system which can adapt to muddy water working conditions, realize reliable fusion of multi-source data, have autonomous calibration and quality control capability and ensure traceable results are needed so as to support channel operation maintenance and accurate scheduling. Disclosure of Invention In order to solve the problems, the invention provides a channel sedimentation thickness online measurement method based on multi-source fusion self-checking, which comprises the following steps: S1, establishing a measurement coordinate system and acquiring reference bed surface data, namely setting a reference control point in a target channel section, establishing the measurement coordinate system, and acquiring and storing reference bed surface elevation distribution S2, carrying out multi-source synchronous acquisition, namely arranging a multi-probe ultrasonic sounding array, a water level gauge and a temperature sensor on a target section in a channel water running state, and synchronously acquiring the water surface elevationWater temperatureAnd the ultrasonic sounding original echo of each measuring point, and calculating the original water depth; S3, correcting sound velocity and calculating effective water depth based on water temperatureOn-site calibration parametersBy the sound velocity functionCalculating sound velocity for original water depthCorrecting to obtain effective water depth; S4, inverting the current bed surface elevation and evaluating the echo quality according to the water surface elevationAnd effective water depthBy inversion of bed surfaceCalculating the current bed surface elevation, wherein,Zero bias is installed for the system, and simultaneously, echo quality index is extracted from the original echo; S5, identifying and eliminating abnormal values based on the echo quality indexRepeated measurement of discrete indicatorsAnd neighborhood consistency indexCarrying out outlier identification and elimination on the measured data; S6, calculating the deposition thickness, namely, elevating the current bed surface And the height of the reference bed surfaceDifferencing in the same coordinate system to calculate the deposition thickness; S7, outputting statistical results and uncertainty, namely, for the deposited thicknessPerforming gridding statistics, outputting at least one index of average deposition thickness, maximum deposition thickness, deposition area occupation ratio and deposition volume of a section, and outputting an index of uncertainty of thickness or credibility; s8, performing self-checking and hierarchical retesting, namely